{"url":"/method/clusterfit","slug":"clusterfit","name":"ClusterFit","full_name":"ClusterFit","full_name_withheld":false,"description_markdown":"**ClusterFit** is a self-supervision approach for learning image representations.  Given a dataset, we (a) cluster its features extracted from a pre-trained network using k-means and (b) re-train a new network from scratch on this dataset using cluster assignments as pseudo-labels.","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":"https://arxiv.org/abs/1912.03330v1","title":"ClusterFit: Improving Generalization of Visual Representations","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Self-Supervised Learning","url":"/methods/category/self-supervised-learning","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":null,"papers_newest_first":[{"paper":"/paper/clusterfit-improving-generalization-of-visual","title":"ClusterFit: Improving Generalization of Visual Representations","date":"2019-12-06","arxiv_id":"1912.03330","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/action-classification","name":"Action Classification","papers":1},{"task":"/task/clustering","name":"Clustering","papers":1},{"task":"/task/image-classification","name":"Image Classification","papers":1},{"task":"/task/transfer-learning","name":"Transfer Learning","papers":1}],"tasks_shown":4,"n_tasks":4,"usage_by_year":[{"year":"2019","papers":1}],"row_source":"embedded","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/clusterfit"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}